MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4025
Single Precision Score
31066
Half Precision Score
34785
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 13 2025 04:09 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,3 |
| Motherboard | Mac15,3 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1515
281.8 IPS |
|
|
Image Classification (HP)
|
100% |
17272
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
20328
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1881
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22050
357.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
26988
437.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8661
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123090
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
121650
142.6 IPS |
|
|
Object Detection (SP)
|
100% |
1816
144.1 IPS |
|
|
Object Detection (HP)
|
100% |
17679
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
20611
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
3400
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
40054
475.9 IPS |
|
|
Face Detection (Q)
|
100% |
51480
611.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6940
53.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
98030
755.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
123349
964.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22055
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
229961
295.6 IPS |
|
|
Style Transfer (Q)
|
96% |
220158
284.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5182
191.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49091
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57543
2.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2871
3.83 KIPS |
|
|
Text Classification (HP)
|
100% |
4968
6.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4981
6.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3218
55.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4589
79.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4707
81.3 IPS |
